keyword
MENU ▼
Read by QxMD icon Read
search

Mri alzheimer

keyword
https://www.readbyqxmd.com/read/28079104/longitudinal-measurement-and-hierarchical-classification-framework-for-the-prediction-of-alzheimer-s-disease
#1
Meiyan Huang, Wei Yang, Qianjin Feng, Wufan Chen
Accurate prediction of Alzheimer's disease (AD) is important for the early diagnosis and treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD. Therefore, patients with MCI who are at high risk of fully developing AD should be identified to accurately predict AD. However, the relationship between brain images and AD is difficult to construct because of the complex characteristics of neuroimaging data. To address this problem, we present a longitudinal measurement of MCI brain images and a hierarchical classification method for AD prediction...
January 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28075620/diagnostic-efficacy-of-structural-mri-in-patients-with-mild-to-moderate-alzheimer-disease-automated-volumetric-assessment-versus-visual-assessment
#2
Jeeyoung Min, Won-Jin Moon, Ji Young Jeon, Jin Woo Choi, Yeon-Sil Moon, Seol-Heui Han
OBJECTIVE: The purpose of this study was to compare the diagnostic efficacies of an automated volumetric assessment tool and visual assessment in the evaluation of medial temporal lobar atrophy in mild-to-moderate Alzheimer disease (AD). MATERIALS AND METHODS: This retrospective study included 30 patients with mild-to-moderate AD and 25 age-matched healthy control subjects undergoing MRI with a 3D fast spoiled gradient recalled-echo sequence at 3 T. The images were processed with fully automated volumetric analysis software...
January 11, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/28072381/magnetic-resonance-imaging-and-positron-emission-tomography-in-the-diagnosis-of-neurodegenerative-dementias
#3
REVIEW
A Del Sole, S Malaspina, Alberto Magenta Biasina
Neuroimaging, both with magnetic resonance imaging (MRI) and positron emission tomography (PET), has gained a pivotal role in the diagnosis of primary neurodegenerative diseases. These two techniques are used as biomarkers of both pathology and progression of Alzheimer's disease (AD) and to differentiate AD from other neurodegenerative diseases. MRI is able to identify structural changes including patterns of atrophy characterizing neurodegenerative diseases, and to distinguish these from other causes of cognitive impairment, e...
October 2016: Functional Neurology
https://www.readbyqxmd.com/read/28067183/hippocampal-and-entorhinal-structures-in-subjective-memory-impairment-a-combined-mri-volumetric-and-dti-study
#4
Seon Young Ryu, Eun Ye Lim, Seunghee Na, Yong Soo Shim, Jung Hee Cho, Bora Yoon, Yun Jeong Hong, Dong Won Yang
BACKGROUND: Subjective memory impairment (SMI) is common among older adults. Increasing evidence suggests that SMI is a risk factor for future cognitive decline, as well as for mild cognitive impairment and dementia. Medial temporal lobe structures, including the hippocampus and entorhinal cortex, are affected in the early stages of Alzheimer's disease. The current study examined the gray matter (GM) volume and microstructural changes of hippocampal and entorhinal regions in individuals with SMI, compared with elderly control participants without memory complaints...
January 9, 2017: International Psychogeriatrics
https://www.readbyqxmd.com/read/28066842/diagnosis-of-alzheimer-s-disease-using-view-aligned-hypergraph-learning-with-incomplete-multi-modality-data
#5
Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is still an area of active research. Several multi-view learning methods have recently been developed to deal with missing data, with each view corresponding to a specific modality or a combination of several modalities. However, existing methods usually ignore the underlying coherence among views, which may lead to suboptimal learning performance. In this paper, we propose a view-aligned hypergraph learning (VAHL) method to explicitly model the coherence among the views...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28066707/longitudinal-changes-in-microstructural-white-matter-metrics-in-alzheimer-s-disease
#6
Chantel D Mayo, Erin L Mazerolle, Lesley Ritchie, John D Fisk, Jodie R Gawryluk
BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Current avenues of AD research focus on pre-symptomatic biomarkers that will assist with early diagnosis of AD. The majority of magnetic resonance imaging (MRI) based biomarker research to date has focused on neuronal loss in grey matter and there is a paucity of research on white matter. METHODS: Longitudinal DTI data from the Alzheimer's Disease Neuroimaging Initiative 2 database were used to examine 1) the within-group microstructural white matter changes in individuals with AD and healthy controls at baseline and year one; and 2) the between-group microstructural differences in individuals with AD and healthy controls at both time points...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28064175/neuroimaging-of-inflammation-in-memory-and-related-other-disorders-nimrod-study-protocol-a-deep-phenotyping-cohort-study-of-the-role-of-brain-inflammation-in-dementia-depression-and-other-neurological-illnesses
#7
W Richard Bevan-Jones, Ajenthan Surendranathan, Luca Passamonti, Patricia Vázquez Rodríguez, Robert Arnold, Elijah Mak, Li Su, Jonathan P Coles, Tim D Fryer, Young T Hong, Guy Williams, Franklin Aigbirhio, James B Rowe, John T O'Brien
INTRODUCTION: Inflammation of the central nervous system is increasingly regarded as having a role in cognitive disorders such as dementia and depression, but it is not clear how such inflammation relates to other aspects of neuropathology, structural and functional changes in the brain and symptoms (as assessed via clinical and neuropsychological assessment and MRI). This study will explore these pathophysiological mechanisms using positron emission tomography (PET) which allows in vivo imaging of inflammation, amyloid and τ deposition, together with neuropsychological profiling, MRI and peripheral biomarker analysis...
January 7, 2017: BMJ Open
https://www.readbyqxmd.com/read/28062720/multimodal-characterization-of-older-apoe2-carriers-reveals-selective-reduction-of-amyloid-load
#8
Michel J Grothe, Sylvia Villeneuve, Martin Dyrba, David Bartrés-Faz, Miranka Wirth
OBJECTIVE: To comprehensively assess neurobiological effects of the protective APOE2 allele in the aged brain using a cross-sectional multimodal neuroimaging approach. METHODS: Multimodal neuroimaging data were obtained from a total of 572 older individuals without dementia (cognitively normal and mild cognitive impairment) enrolled in the Alzheimer's Disease Neuroimaging Initiative and included assessments of regional amyloid load with AV45-PET, glucose metabolism with fluorodeoxyglucose-PET, and gray matter volume with structural MRI...
January 6, 2017: Neurology
https://www.readbyqxmd.com/read/28059783/improved-cerebrospinal-fluid-based-discrimination-between-alzheimer-s-disease-patients-and-controls-after-correction-for-ventricular-volumes
#9
Linda J C van Waalwijk van Doorn, Juan D Gispert, H Bea Kuiperij, Jurgen A H R Claassen, Andrea Arighi, Inês Baldeiras, Kaj Blennow, Marco Bozzali, Miguel Castelo-Branco, Enrica Cavedo, Derya D Emek-Savaş, Erden Eren, Paolo Eusebi, Lucia Farotti, Chiara Fenoglio, Juan Fortea Ormaechea, Yvonne Freund-Levi, Giovanni B Frisoni, Daniela Galimberti, Sermin Genc, Viviana Greco, Harald Hampel, Sanna-Kaisa Herukka, Yawu Liu, Albert Lladó, Alberto Lleó, Flavio M Nobili, Kader K Oguz, Lucilla Parnetti, João Pereira, Agnese Picco, Maria Pikkarainen, Catarina Resende de Oliveira, Esen Saka, Nicola Salvadori, Raquel Sanchez-Valle, Isabel Santana, Elio Scarpini, Philip Scheltens, Hilkka Soininen, Roberto Tarducci, Charlotte Teunissen, Magda Tsolaki, Andrea Urbani, Eduard Vilaplana Martinez, Pieter Jelle Visser, Asa K Wallin, Görsev Yener, José L Molinuevo, Olga Meulenbroek, Marcel M Verbeek
Cerebrospinal fluid (CSF) biomarkers may support the diagnosis of Alzheimer's disease (AD). We studied if the diagnostic power of AD CSF biomarker concentrations, i.e., Aβ42, total tau (t-tau), and phosphorylated tau (p-tau), is affected by differences in lateral ventricular volume (VV), using CSF biomarker data and magnetic resonance imaging (MRI) scans of 730 subjects, from 13 European Memory Clinics. We developed a Matlab-algorithm for standardized automated segmentation analysis of T1 weighted MRI scans in SPM8 for determining VV, and computed its ratio with total intracranial volume (TIV) as proxy for total CSF volume...
December 3, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28058207/memory-loss-five-new-things
#10
Ferenc Deak, Nidhi Kapoor, Calin Prodan, Linda A Hershey
PURPOSE OF REVIEW: Memory loss can be due to a wide variety of causes. We provide new information about the biology of common genetic and acquired causes of memory loss in older adults. RECENT FINDINGS: New data are available about the genetics of Alzheimer disease (AD), dementia with Lewy bodies (DLB), and frontotemporal dementia. Amyloid PET, FDG-PET, and MRI have improved our understanding of how mild cognitive impairment evolves to AD. Several studies have shown links between concussion and chronic traumatic encephalopathy...
December 2016: Neurology. Clinical Practice
https://www.readbyqxmd.com/read/28056889/dimensionality-reduction-based-fusion-approaches-for-imaging-and-non-imaging-biomedical-data-concepts-workflow-and-use-cases
#11
Satish E Viswanath, Pallavi Tiwari, George Lee, Anant Madabhushi
BACKGROUND: With a wide array of multi-modal, multi-protocol, and multi-scale biomedical data being routinely acquired for disease characterization, there is a pressing need for quantitative tools to combine these varied channels of information. The goal of these integrated predictors is to combine these varied sources of information, while improving on the predictive ability of any individual modality. A number of application-specific data fusion methods have been previously proposed in the literature which have attempted to reconcile the differences in dimensionalities and length scales across different modalities...
January 5, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28054724/learning-based-3t-brain-mri-segmentation-with-guidance-from-7t-mri-labeling
#12
Minghui Deng, Renping Yu, Li Wang, Feng Shi, Pew-Thian Yap, Dinggang Shen
PURPOSE: Segmentation of brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain structural measurement and disease diagnosis. Learning-based segmentation methods depend largely on the availability of good training ground truth. However, the commonly used 3T MR images are of insufficient image quality and often exhibit poor intensity contrast between WM, GM, and CSF. Therefore, they are not ideal for providing good ground truth label data for training learning-based methods...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/28050343/brain-insulin-resistance-deteriorates-cognition-by-altering-the-topological-features-of-brain-networks
#13
Fan Su, Hao Shu, Qing Ye, Zan Wang, Chunming Xie, Baoyu Yuan, Zhijun Zhang, Feng Bai
Insulin resistance represents one of the mechanisms underlying the link between type 2 diabetes (T2D) and Alzheimer's disease (AD), and we explored its in vivo neurobiology related to cognition based on a pathway-based genetic association analyses. Eighty-seven mild cognitive impairment (MCIs) subjects and 135 matched controls (HCs) were employed at baseline, and they underwent functional MRI scans, clinical evaluations and exon sequencings of 20 genes related to brain insulin resistance. A longitudinal study for an average of 35 months was performed to assess their cognitive decline over time...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28048035/mo-fg-campus-iep3-02-gradient-nonlinearity-calibration-and-correction-for-full-volume-imaging-of-a-compact-asymmetric-mri-gradient-system
#14
S Tao, J Trzasko, Y Shu, P Weavers, J Gunter, J Huston, S Lee, E Tan, M Bernstein
PURPOSE: Due to engineering limitations, the spatial encoding gradient fields generated by an MRI scanner are inherently nonlinear and images must undergo geometric correction prior to display. The gradient nonlinearity (GNL) of a conventional symmetric whole-body gradient is typically characterized using a spherical harmonic polynomial (SHP) expansion of magnetic gradient fields with up to fifth-order terms. Only odd-order terms are required due to design symmetry (i.e., 3rd/5th-order)...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047588/su-f-i-20-volumetric-reduction-of-the-corpus-callosum-in-alzheimer-s-disease-and-mild-cognitive-impairment
#15
R Juh, T Suh, J Han, C Kim, C Oh
PURPOSE: This study investigated correlations between regional corpus callosum (CC) atrophy and cognitive measurements in AD subjects at mild disease stages with volumetry. Our aims were to replicate ROI-based findings of reduced volumes of the CC in mild cognitive impairment (MCI) patients relative to AD and to investigate, on a voxel-by-voxel basis, the presence of significant correlations between CC atrophy and cognitive test scores in AD subjects. METHODS: We used the VBM and cross-sectional ROI-based volumetry approach to conduct a detailed assessment of CC volumetric reductions in a probable AD patient (n=40) in comparison to MCI (n=40) and Subjective memory impairment (SMI) (n=12) matched for age...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28045907/early-prediction-of-alzheimer-s-disease-using-null-longitudinal-model-based-classifiers
#16
Giovana Gavidia-Bovadilla, Samir Kanaan-Izquierdo, María Mataró-Serrat, Alexandre Perera-Lluna
Incipient Alzheimer's Disease (AD) is characterized by a slow onset of clinical symptoms, with pathological brain changes starting several years earlier. Consequently, it is necessary to first understand and differentiate age-related changes in brain regions in the absence of disease, and then to support early and accurate AD diagnosis. However, there is poor understanding of the initial stage of AD; seemingly healthy elderly brains lose matter in regions related to AD, but similar changes can also be found in non-demented subjects having mild cognitive impairment (MCI)...
2017: PloS One
https://www.readbyqxmd.com/read/28042517/rust-on-the-brain-from-microbleeds-and-its-relevance-to-alzheimer-studies-invited-commentary-on-cacciottolo-neurobiology-of-aging-2016
#17
M Cacciottolo, T E Morgan, C E Finch
Cerebral microbleeds (MB) and small vessel disease (SVD) with congophilic arterial angiopathy (CAA) are increasingly recognized as a variable factor in AD cognitive impairments. This commentary on our recent report on sex-ApoE interactions in MBs published this February, briefly explores three aspects of MBs that could not be fully discussed therein: I, A possible gap between the prevalence of MBs as detected by MRI and post mortem analysis; II, The role of hemoglobin-degradation products in amyloid-attributed neurodegenerative changes; and III, Possible assessment of MB by cerebrospinal fluid (CSF) assays for iron-related markers to better screen patient subgroups for AD interventions...
November 2016: Journal of Alzheimer's Disease and Parkinsonism
https://www.readbyqxmd.com/read/28035923/neural-correlates-of-self-reference-effect-in-early-alzheimer-s-disease
#18
Malo Gaubert, Nicolas Villain, Brigitte Landeau, Florence Mézenge, Stéphanie Egret, Audrey Perrotin, Serge Belliard, Vincent de La Sayette, Francis Eustache, Béatrice Desgranges, Gaël Chételat, Géraldine Rauchs
Information that is processed with reference to the self (i.e., self-referential processing, SRP) is generally associated with better remembering than information processed in a semantic condition. This benefit of self on memory performance is called self-reference effect (SRE). In the present study, we assessed changes in the SRE and SRP-related brain activity in patients diagnosed with mild cognitive impairment or early Alzheimer's disease (MCI/AD). Fifteen patients with confirmed amyloid-β deposits (positive florbetapir-PET scan) and 28 healthy controls (negative florbetapir-PET scan) were included...
December 30, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28033566/towards-a-holistic-cortical-thickness-descriptor-heat-kernel-based-grey-matter-morphology-signatures
#19
Gang Wang, Yalin Wang
In this paper, we propose a heat kernel based regional shape descriptor that may be capable of better exploiting volumetric morphological information than other available methods, thereby improving statistical power on brain magnetic resonance imaging (MRI) analysis. The mechanism of our analysis is driven by the graph spectrum and the heat kernel theory, to capture the volumetric geometry information in the constructed tetrahedral meshes. In order to capture profound brain grey matter shape changes, we first use the volumetric Laplace-Beltrami operator to determine the point pair correspondence between white-grey matter and CSF-grey matter boundary surfaces by computing the streamlines in a tetrahedral mesh...
December 26, 2016: NeuroImage
https://www.readbyqxmd.com/read/28031997/cortical-asymmetry-in-parkinson-s-disease-early-susceptibility-of-the-left-hemisphere
#20
Daniel O Claassen, Katherine E McDonell, Manus Donahue, Shiv Rawal, Scott A Wylie, Joseph S Neimat, Hakmook Kang, Peter Hedera, David Zald, Bennett Landman, Benoit Dawant, Swati Rane
BACKGROUND AND PURPOSE: Clinically, Parkinson's disease (PD) presents with asymmetric motor symptoms. The left nigrostriatal system appears more susceptible to early degeneration than the right, and a left-lateralized pattern of early neuropathological changes is also described in several neurodegenerative conditions, including Alzheimer's disease, frontotemporal dementia, and Huntington's disease. In this study, we evaluated hemispheric differences in estimated rates of atrophy in a large, well-characterized cohort of PD patients...
December 2016: Brain and Behavior
keyword
keyword
44318
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"